Virtualization Technology News and Information
Cloud Monitoring and AIOps: How You Can Protect Your Cloud

By Shreyans Parekh, Senior Manager of Product and Solutions Marketing, AppDynamics, a Cisco company

When it comes to cloud adoption, timelines are not what they used to be. For most organizations, transitions to the cloud followed a slow, gradual process with a well-planned, long-term roadmap. However, with the emergence of the COVID-19 pandemic and subsequent mass migration to remote work, many businesses have seen their cloud transitions accelerate rapidly with IT timelines shortened significantly. A recent Gartner report predicted that, while overall IT spending is set to decline in 2020, cloud computing is expected to grow by 19 percent, primarily brought on by this drastic increase in remote work.  

With this surge in cloud usage, many of the strategies companies used before are now accelerated to a rapid pace, with massive changes happening faster than ever. In the recent AppDynamics Agents of Transformation 2020 Report, 95 percent of surveyed organizations had to change their technology priorities as a result of the COVID-19 pandemic. As priorities change, organizations have to pivot their cloud strategies accordingly. Such rapid change can leave greater room for error, ultimately translating to negative effects on the end user.

Enter cloud monitoring.

As we operate in a world that's increasingly digital and remote experiences become a regular fixture in all facets of life, it's imperative that organizations implement monitoring solutions sooner rather than later.  A targeted cloud monitoring solution incorporated into an organization's overall strategy can provide a safety net and cost limit for companies that are shifting significant portions of their infrastructure into the cloud and help technologists ensure the proper health of that infrastructure once the migration is complete.

Unfortunately, that's not the current state for many. Another recent Gartner report forecasted that by 2021, fewer than 15 percent of organizations will have holistic monitoring solutions in place. This lack of adequate monitoring will put more than $255 billion worth of investments in cloud-based solutions at risk, which means all those hours and efforts spent on shifting operations to the cloud could come crashing down, leaving missed opportunities and problems unresolved.

Without the appropriate visibility and insights, cloud projects can quickly get out of hand, especially with multiple diverse cloud environments and thousands of applications being deployed. Cloud monitoring solutions provide organizations with the needed transparency into their environments and allow them to maintain control over their cloud journey at every step of the process.

AIOps offers a huge advantage.

To enable the most effective cloud monitoring results, organizations should consider solutions that incorporate AI for Operations, or the practice of AIOps. Earlier this year, my AppDynamics colleague, Regional CTO Gregg Ostrowski, shared that leveraging AIOps would become broadly accepted and critical to keeping key applications running flawlessly through automated scaling, optimization and remediation in 2020. As it turns out, his prediction would be validated in ways few realized: the COVID-19 pandemic and its effects on the way we all work now has changed AIOps from a blip on a past roadmap into a near-term and future necessity.

In addition to experiencing accelerated timelines, almost two thirds (64 percent) of technologists are now being asked to perform tasks and activities they have never done before, the Agents of Transformation Report also found. New responsibilities turn into new pressures, compounding the usual stressors of handling the day-to-day of enterprise IT. These pressures can break down the much-needed efficiencies between IT and business counterparts, which is crucial for aligning on an IT strategy that is realistic and supports the business.

The integration of AIOps into an organization's cloud monitoring efforts allows AI and machine learning to handle baseline operations, such as addressing outages and increasing uptime through real-time monitoring, so technologists can fully focus their energy, efforts and expertise on solving the new issues that will inevitably arise with a more distributed group of users and technologies.

Most organizations understand the value of the cloud and are putting huge investments, both in dollars and in technologists' time and energy, into moving their operations to the cloud to ensure future flexibility and scalability. Leveraging AIOps is a key way to protect these investments so an organization is capable of not just weathering the storm of 2020, but flourishing beyond it.


About the Author

Shreyans Parekh 

Shreyans Parekh is Senior Manager of Products and Solutions Marketing at AppDynamics, part of Cisco, where he manages corporate development and go-to-market strategy across the Cisco applications, data center cloud and compute portfolio.

Published Thursday, September 24, 2020 7:34 AM by David Marshall
RajeshN - (Author's Link) - September 24, 2020 11:26 AM

That's right cloud computing is emerging as a primary factor of many firms today, which offers a broad array of advantages and empowers enterprises to save on IT infrastructure management costs. So, with the right cost management strategies in place, enterprises can benefit from their cloud adoption journey, and yes, thanks for sharing this article full of useful reports, and it is helpful to learn the value of integrating AI into cloud monitoring operations to save costs.

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